Evidence map›Paper›PMID 41068105›Full record

ArticleScientific data2025

Comprehensive images and serum biomarkers for biliary atresia and other cholestasis in pediatrics.

Shuyi Liu, Rui Zhang, Yongshang Yu, Chunyixue Geng, Hongbin Ma, Yuyun Liu, Wenhua Qin, Yue Zhang, Qiqiao Zhang, Wenjing Gao

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Shuyi Liu *Department of Radiology, Guangzhou Women and Children's Medical Center Liuzhou Hospital, Liuzhou, Guangxi, China.
Rui Zhang *Department of Ultrasound, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.
Yongshang YuDepartment of Clinical Data Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.
Chunyixue GengDepartment of Radiology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.
Hongbin MaSchool of Pediatrics, Guangzhou Medical University, Guangdong, China.
Yuyun LiuDepartment of Radiology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China.
Wenhua QinDepartment of Radiology, Guangzhou Women and Children's Medical Center Liuzhou Hospital, Liuzhou, Guangxi, China.
Yue ZhangSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.
Qiqiao ZhangSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.
Wenjing GaoDepartment of Clinical Data Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, Guangdong, China. gaowenjing0508@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biliary atresia (BA) and other pediatric cholestatic diseases are rare but serious conditions that require early and accurate diagnosis. Ultrasound has become the primary diagnostic method for BA, particularly for evaluating gallbladder contractility through fasting and postprandial comparisons. However, there is currently a lack of publicly available datasets containing paired fasting-postprandial gallbladder ultrasound images, other key sonographic features, and relevant serum biochemical indicators. The dataset consisted of 2,759 ultrasound images obtained from 1,019 infants diagnosed with cholestatic diseases. This included 377 BA cases (664 fasting and 328 post-prandial images) and 642 non-BA cases (1,004 fasting and 580 post-prandial images). Additionally, 183 images documenting abnormal ultrasonographic findings such as triangular cord sign, dilated hepatic artery, and hilar hepatic cysts, and relevant hepatic biochemical indicators were also collected. The study implemented nnU-Net to perform automated gallbladder segmentation across both fasting and postprandial ultrasound examinations. The dataset represents a valuable resource for enhancing the diagnostic accuracy of BA and facilitating the development of clinical decision-support system.

Indexed as

Biliary AtresiaCholestasisBiomarkersFastingGallbladderHumansInfantPostprandial PeriodUltrasonographyBiomarkers

Identifiers

PMID41068105
PMCPMC12511352

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.